scholarly journals Model Prediksi Berat Lahir Bayi Berdasarkan Berat Badan Ibu Hamil

2013 ◽  
Vol 7 (8) ◽  
pp. 339
Author(s):  
Maulia Sari ◽  
Trini Sudiarti
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Antenatal Care ◽  
First Trimester ◽  
Power Relationship ◽  
Maternal Weight ◽  
Variable Effect ◽  
First Semester ◽  
Prepregnancy Weight ◽  
Moderate Power

Berat lahir bayi kurang dari 3.000 gram berisiko untuk terjadinya penyakit jantung dan stroke serta kematian yang tiga belas persen lebih tinggi daripada berat lahir lebih dari 3000 gram. Tujuan penelitian ini yaitu untuk mendapatkan model prediksi berat lahir dan mengetahui faktor yang paling berpengaruh terhadap berat lahir bayi. Desain penelitian menggunakan cohort retrospektif. Sampel melibatkan 233 ibu hamil beserta bayi yang melakukan pemeriksaan antenatal care dan melahirkan di Rumah Sakit Citra Medika dan bidan bersalin Hj. Sumartini dari bulan Januari 2010 sampai Desember 2011 di Rantauprapat. Data dikumpulkan dari data rekam medis dan kelahiran pasien. Analisis korelasi dan regresi linier ganda digunakan untuk mengetahui kekuatan dan arah hubungan antara variabel independen dengan berat lahir. Hasil penelitian menemukan rata-rata berat lahir 3.337,8 ± 353,7 gram (95% CI= 3.292 – 3.383). Berat badan (BB) sebelum hamil, pertambahan berat badan ibu trimester pertama, kedua, dan ketiga mempunyai kekuatan hubungan yang sedang dan berpola positif. Model prediksi menunjukkan bahwa berat lahir = 1.764,133 + 0,023 (BB pra hamil) + 0,131 (pertambahan berat badan trimester 1) + 0,037 (per- tambahan berat badan trimester 2) + 0,037 (pertambahan berat badan trimester 3). Variabel yang paling berpengaruh adalah pertambahan berat badan trimester pertama.Birth weight less 3,000 gram have more risk to cause heart and stroke disease, 13% higher than birth weight < 3,000 gram. This study described about the correlation between prepregnancy weight, first trimester weight gain, second trimester weight gain, third trimester weight gain with birth weight. This study aimed to predict birth weight and find out the factors that most influence on birth weight. This study used a retrospective cohort design. Samples were 233 pregnant women and infants who perform antenatal care and deliver in Citra Medika Hospital and midwife maternity from January 2010 to December 2011. The data were collected through patient medical record and birth data. Correlation analysis and multiple linear regression were used to determine the strength and the relationship direction between independent variables and birth weight. The results revealed the averages of birth weight in the hospital and maternity midwife are 3,337.8 ± 353.72 grams (95% CI: 3,292 – 3,383). Prepregnancy weight, maternal weight gain in first, second, and third semester have a moderate power relationship and positive pattern. The prediction model of birth weight = 1,764.133 + 0.023 (pre-pregnancy weight) + 0.131 (first semester weight gain) + 0.037 (second semester weight gain) + 0.037 (third semester weight gain). The most variable effect is a first semester weight gain.

Adolescent Gestational Weight Gain and Birth Weight

PEDIATRICS ◽  
1993 ◽  
Vol 92 (6) ◽  
pp. 805-809
Author(s):  
Catherine Stevens-Simon ◽  
Elizabeth R. MCAnarney ◽  
Klaus J. Roghmann
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Gestational Weight Gain ◽  
Low Income ◽  
Black Adolescents ◽  
Maternal Weight Gain ◽  
Maternal Weight ◽  
Gestational Weight ◽  
Prepregnancy Weight ◽  
Older Adolescents

Objective. To examine the relationship among maternal age, prepregnancy weight, gestational weight gain, and birth weight in 141 low-income black adolescents and their infants. Study sample. One hundred forty-one consecutively enrolled, low-income, black adolescents who entered prenatal care prior to their 23rd week of gestation, were free of chronic diseases, took no regular medications, had no known uterine anomalies, and gave birth to one live neonate. Results. After controlling for prepregnancy weight and other potentially confounding variables, we found a significant relationship between gestational weight gain and infant birth weight among younger adolescents (&lt;16 years old at conception), but not among older adolescents (16 through 19 years old at conception); younger adolescents contributed more of their gestational weight gain to their fetuses than did older adolescents. Among younger adolescents the rate of maternal weight gain during the entire gestation was significantly correlated with birth weight (r = .40; P &lt; .01), whereas for older adolescents only maternal weight gain during the second half of gestation was significantly correlated with birth weight (r = .25, P &lt; .05). Conclusions. The data do not support the thesis that younger adolescents compete with their fetuses for nutrients; in fact, younger study adolescents transferred more of their gestational weight gain to their fetuses than did older adolescents.

Rate and pattern of weight gain in Indian women from the upper income group during pregnancy and its effect on pregnancy outcome

2012 ◽  
Vol 3 (5) ◽  
pp. 387-392 ◽  
Author(s):  
L. Raje ◽  
P. Ghugre
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Pregnancy Outcome ◽  
Maternal Nutrition ◽  
First Trimester ◽  
Income Group ◽  
Maternal Weight Gain ◽  
Maternal Weight ◽  
Indian Women ◽  
Weight Gain During Pregnancy

Maternal weight gain and pattern of weight gain during pregnancy influence the ultimate outcome of pregnancy. Pregravid body mass index (BMI), maternal dietary intake, maternal height and age all determine the weight gain during pregnancy. The study was taken up with an objective to observe maternal weight gain and its pattern in pregnancy in women from an upper income group and to find out their association with pregnancy outcome. 180 normal primiparous pregnant Indian women (20–35 years) from an upper income group were recruited between the 10th and 14th weeks of pregnancy and were followed up throughout their pregnancy to record total and trimester-wise weight gain. Neonatal birth weights were recorded. The results showed that mothers with high pregravid BMI gained more weight during pregnancy than the recommended weight gain; in addition, weight gain in the first trimester was significantly correlated with birth weight of the neonates (P = 0.019). Significant correlation was found between weight gain in the third trimester and birth weight of the neonate irrespective of maternal BMI. The rate of weight gain was significantly correlated with neonatal birth weights irrespective of maternal pregravid BMI (P = 0.022) and as per its categories (P = 0.027). Thus, overall it can be concluded that adequate maternal nutrition before and during pregnancy is important for adequate weight gain by the mother and can result in better outcome of pregnancy. The rate of weight gain is also an important contributing factor.

scholarly journals Gestational diabetes: influence of food intake on birth weight, HBA1, and maternal weight gain

1997 ◽  
Vol 37 (3) ◽  
pp. 372-373
Author(s):  
MC Nuttens ◽  
O. Verier-Mine ◽  
S. Biausque ◽  
A. Wambergue ◽  
M. Romon
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Food Intake ◽  
Gestational Diabetes ◽  
Maternal Weight Gain ◽  
Maternal Weight ◽  
Influence Of Food

scholarly journals Prevalence of food insecurity in pregnant women and its association with gestational weight gain pattern, neonatal birth weight, and pregnancy complications in Hamadan County, Iran, in 2018

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Farideh Kazemi ◽  
Seyedeh Zahra Masoumi ◽  
Arezoo Shayan ◽  
Seyedeh Zahra Shahidi Yasaghi
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Food Insecurity ◽  
Pregnant Women ◽  
Pregnancy Outcomes ◽  
Pregnancy Complications ◽  
Maternal Weight ◽  
Cross Sectional ◽  
Significance Level ◽  
Adverse Pregnancy

Abstract Background The results of some studies have indicated the association between food insecurity and certain adverse pregnancy outcomes. The present study aimed to investigate the prevalence of food insecurity in pregnant women and its association with pregnancy outcomes and complications. Methods The present cross-sectional study was conducted on 772 mothers who visited comprehensive health service centers during the first 10 days after delivery in 2018. The tools included the demographic and midwifery information questionnaire and an 18-item questionnaire devised by the U.S. Department of Agriculture. The significance level was considered to be 0.05. Results 67.5% of pregnant women had food insecurity. The multivariate analysis showed that birth weight decreased with the increase in the severity of food insecurity, but the reduction was not statistically significant. Based on the results, food insecurity had no statistically significant impact on the mothers’ weight gain pattern (p = 0.13). The risk of hypertension/preeclampsia and anemia was not related to food insecurity. Compared with the food-secure group, the probability of gestational diabetes was 56% lower in the food-insecure group without hunger and 61% lower in the food-insecure group with moderate hunger; however, in the food-insecure group with severe hunger, this probability was 1.5 times more than the food-secure group, which is not statistically significant. Conclusions The prevalence of food insecurity was high in pregnant women. Maternal weight gains during pregnancy and birth weight (despite being statistically insignificant) were affected by this condition; therefore, it is necessary to identify women with food insecurity on their first pregnancy visit; it is also crucial to take steps towards improving their health through allocating a family food basket and nutritional support for these women at least during pregnancy. Due to the limited sample size and inability to control the potential confounders, the association between food insecurity during pregnancy and the incidence of pregnancy complications could not be reached, hence the need for more studies.

Effect of Maternal Dietary Restriction during Pregnancy on Maternal Weight Gain and Fetal Birth Weight in the Rat

1980 ◽  
Vol 110 (5) ◽  
pp. 883-890 ◽  
Author(s):  
Garland D. Anderson ◽  
Robert A. Ahokas ◽  
Jeffrey Lipshitz ◽  
Preston V. Dilts
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Dietary Restriction ◽  
Maternal Weight Gain ◽  
Maternal Weight ◽  
Fetal Birth Weight

Maternal Weight Gain and Infant Birth Weight in Women with Class III Obesity

2019 ◽  
Author(s):  
Ann R. Tucker ◽  
Haywood L. Brown ◽  
Sarah K. Dotters-Katz
Keyword(s):  
Weight Gain ◽  
Birth Weight ◽  
Gestational Age ◽  
Morbidly Obese ◽  
Maternal Weight Gain ◽  
Class Iii ◽  
Maternal Weight ◽  
Class Iii Obesity ◽  
Iom Recommendations ◽  
Infant Birth

Abstract Objective The aim of this study is to describe the impact of maternal weight gain on infant birth weight among women with Class III obesity. Study Design Retrospective cohort of women with body mass index (BMI) ≥40 kg/m2 at initial prenatal visit, delivered from July 2013 to December 2017. Women presenting 14/0 weeks of gestational age (GA), delivering preterm, or had multiples or major fetal anomalies excluded. Maternal demographics and complications, intrapartum events, and neonatal outcomes abstracted. Primary outcomes were delivery of large for gestational age or small for gestational age (SGA) infant. Bivariate statistics used to compare women gaining less than Institute of Medicine (IOM) recommendations (LTR) and women gaining within recommendations (11–20 pounds/5–9.1 kg) (at recommended [AR]). Regression models used to estimate odds of primary outcomes. Results Of included women (n = 230), 129 (56%) gained LTR and 101 (44%) gained AR. In sum, 71 (31%) infants were LGA and 2 (0.8%) were SGA. Women gaining LTR had higher median entry BMI (46 vs. 43, p < 0.01); other demographics did not differ. LTR women were equally likely to deliver an LGA infant (29 vs. 34%, p = 0.5) but not more likely to deliver an SGA infant (0.8 vs. 1%, p > 0.99). After controlling for confounders, the AOR of an LGA baby for LTR women was 0.79 (95% CI: 0.4–1.4). Conclusion In this cohort of morbidly obese women, gaining less than IOM recommendations did not impact risk of having an LGA infant, without increasing risk of an SGA infant.

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